docs: def max(self):
          """Maximum, ignorning nans."""
          if "max" not in self.attrs.keys():
  
              def f(dataset, s):
                  return np.nanmax(dataset[s])
  
              self.attrs["max"] = np.nanmax(list(self.chunkwise(f).values()))
          return self.attrs["max"]